基于数字滤波的圆锥滚子倒装识别算法

发布时间：2018-04-30 10:55

本文选题：圆锥滚子轴承 + 滚子倒装　；参考：《轴承》2016年04期

【摘要】：为避免圆锥滚子倒装缺陷,提出了一种基于数字滤波的圆锥滚子倒装识别算法。首先,通过图像预处理提取圆锥滚子所在环带区域的信息,并根据轴承本身的固有特性及所采集环带区域中滚子的像素统计信号,对圆锥滚子自身结构、倒装缺陷及其他干扰在像素统计信号中的频响特性进行分析;然后,采用FIR数字低通滤波滤除像素统计信号中滚子自身结构所对应的高频信号,对像素统计信号进行FFT,滤除信号中的低频干扰信息;最后,由IFFT得到仅包含倒装缺陷的信号,基于此信号数据实现缺陷位置的准确识别定位。试验表明:该算法能够消除检测因素的干扰,实现滚子倒装缺陷的准确定位。
[Abstract]:In order to avoid the defect of conical roller inversion, a digital filter based recognition algorithm for conical roller inversion is proposed. Firstly, the information of the ring region of the tapered roller is extracted by image preprocessing, and the structure of the tapered roller is analyzed according to the inherent characteristics of the bearing and the pixel statistic signal of the roller in the ring zone. The frequency response characteristics of inverted defects and other disturbances in pixel statistical signals are analyzed. Then, the high frequency signals corresponding to the roller structure in pixel statistical signals are filtered by FIR digital low-pass filter. The pixel statistical signal is processed by FFTs to filter the low-frequency interference information from the signal. Finally, the signal containing only the inverted defect is obtained by IFFT, and the location of the defect can be accurately identified and located based on the signal data. The experimental results show that the algorithm can eliminate the interference of detecting factors and realize the accurate location of the defect of roller inversion.
【作者单位】：河南科技大学机电工程学院;洛阳银杏科技有限公司;
【基金】：河南省高等学校重点科研项目(15A535001)
【分类号】：TH133.33

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